☰
Supply Chain Ecosystem Analysis now part of DBMR Reports
Global Artificial intelligence and analytics in surgery Market, By offering (Hardware, Software), Technology (Machine Learning, Deep Learning, Natural Language Processing, and Others), Application (Cardiovascular surgeries, Neurosurgery, Orthopaedics, Gastroenterology, and Others), End-Users (Hospitals, Surgical specialty units, Others) – Industry Trends and Forecast to 2031.
Factors such as increasing cases of spinal fusion surgeries coupled with a rising geriatric population across the globe, have helped in driving the market growth. Rising healthcare expenditure, developments in innovation for new product launches are expected to lavish the growth of the market.
Data Bridge Market Research analyses that the Artificial intelligence and analytics in surgery market which was USD 177.96 million in 2023, would reach up to USD 1,180.25 million by 2031, and is expected to undergo a CAGR of 26.7% during the forecast period. The “hospitals” in end users segment is expected to dominate the global Artificial intelligence and analytics in surgery market due to presence of skilled professionals and advanced equipment in the hospital setting. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.
Report Scope and Market Segmentation
|
Report Metric
|
Details
|
|
Forecast Period
|
2024 to 2031
|
|
Base Year
|
2023
|
|
Historic Years
|
2022 (Customizable to 2016-2021)
|
|
Quantitative Units
|
Revenue in USD Million, Volumes in Units, Pricing in USD
|
|
Segments Covered
|
By offering (Hardware, Software), Technology (Machine Learning, Deep Learning, Natural Language Processing, and Others), Application (Cardiovascular surgeries, Neurosurgery, Orthopaedics, Gastroenterology, and Others), End-Users (Hospitals, Surgical specialty units, Others)
|
|
Countries Covered
|
U.S., Canada, Mexico, Germany, France, U.K., Belgium, Lithuania, Austria, Ireland, Norway, Poland, Italy, Spain, Russia, Turkey, Netherlands Switzerland, Rest of Europe, Japan, China, South Korea, India, Australia, Singapore, Thailand, Malaysia, Indonesia, Philippines, Rest of Asia-Pacific, Brazil, Argentina, Rest of South America, South Africa, Saudi Arabia, UAE, Egypt, Israel and Rest of Middle East and Africa.
|
|
Market Players Covered
|
Activ Surgical, Inc. (U.S.), Brainomix Ltd (U.K.), Caresyntax, Inc. (U.S.), DeepOR S.A.S (France), ExplORer Surgical Corp. (U.S.), Holo Surgical Inc. (U.S.), LeanTaaS Inc. (U.S.), Medtronic Plc (Ireland), Proximie (U.K.), Theator Inc. (U.S.), Tianjin JingMing New Tech. Devp. Co., Ltd (China), HANSON MEDITEC CO., LTD (China) and Huaian Meide Medical Instrument Co., Ltd (China)
|
|
Market Opportunities
|
|
Market Definition
Artificial Intelligence (AI) and analytics in surgery refer to the integration of advanced technologies to enhance various aspects of surgical procedures. AI assists in preoperative planning by analyzing medical imaging data, offers real-time guidance during surgery, and aids in postoperative monitoring, contributing to personalized patient care. Analytics leverage data insights for decision-making, optimizing surgical processes, and improving outcomes. This convergence of AI and analytics in surgery aims to increase precision, efficiency, and safety, ultimately revolutionizing the field of medical interventions.
Drivers
AI's contribution to improved surgical outcomes lies in its ability to analyze vast amounts of patient data, including medical images and health records, facilitating personalized treatment plans. Advanced algorithms assist in preoperative simulations, enabling surgeons to visualize and plan procedures with higher precision. Real-time AI guidance during surgery enhances decision-making by providing insights into critical structures and potential complications. Postoperatively, continuous monitoring and analytics help identify early signs of complications, allowing for timely interventions and improved recovery outcomes.
Ongoing technological advancements, particularly in AI algorithms and robotics, drive the evolution of surgical systems. Machine learning enables these systems to continuously learn and adapt, enhancing their capability to assist surgeons in complex tasks. The integration of AI with medical imaging technologies allows for more accurate diagnostics and treatment planning. Robotics, powered by AI, enables surgeons to perform intricate procedures with enhanced precision, reducing the risk of errors. These technological strides contribute to the overall efficacy and safety of surgical interventions, attracting increased interest and adoption in the healthcare industry.
Opportunities
Future opportunities in robotic-assisted surgery involve the development of more sophisticated robotic platforms with enhanced autonomy, increased flexibility, and improved tactile feedback. AI algorithms will enable these systems to adapt to dynamic surgical environments, potentially performing complex procedures with a higher degree of precision. As these technologies mature, the integration of advanced robotics into a broader spectrum of surgical specialties could become more prevalent, expanding the applications of minimally invasive techniques.
The future of surgery holds exciting prospects for AR and VR integration, offering surgeons immersive experiences for surgical planning and training. AR may provide real-time, overlaid information during surgery, assisting with navigation and decision-making. VR simulations will likely become more realistic, enabling surgeons to practice intricate procedures in a risk-free virtual environment. These technologies have the potential to enhance surgical education, refine skills, and improve overall surgical precision by providing a more intuitive and interactive approach to preoperative planning and training.
Restraints/Challenges
Interoperability challenges arise from the diverse array of healthcare IT systems that may not seamlessly communicate with each other. The integration of AI and analytics solutions into existing infrastructures requires standardized protocols for data exchange and communication. Overcoming these interoperability issues is crucial to achieving a cohesive and interconnected healthcare ecosystem, ensuring that AI applications can effectively collaborate with electronic health records, imaging systems, and other medical technologies.
The upfront costs associated with acquiring and implementing AI and analytics solutions, along with the ongoing expenses for maintenance and updates, can be a significant barrier for healthcare institutions. Resource constraints may limit the adoption of these technologies, particularly in smaller or underfunded healthcare settings. Striking a balance between cost-effectiveness and the potential long-term benefits is essential, requiring careful financial planning and strategies to make these innovations more accessible to a broader range of healthcare providers.
This Artificial intelligence and analytics in surgery Market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the Artificial intelligence and analytics in surgery Market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
The Artificial intelligence and analytics in surgery Market is segmented on the basis of basis of surgery, product and end-user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Offering
Technology
Application
End-User
The Artificial intelligence and analytics in surgery Market is analysed and market size insights and trends are provided by d by country, surgery, product and end users as referenced above.
U.S., Canada, Mexico, Germany, France, U.K., Belgium, Lithuania, Austria, Ireland, Norway, Poland, Italy, Spain, Russia, Turkey, Netherlands Switzerland, Rest of Europe, Japan, China, South Korea, India, Australia, Singapore, Thailand, Malaysia, Indonesia, Philippines, Rest of Asia-Pacific, Brazil, Argentina, Rest of South America, South Africa, Saudi Arabia, UAE, Egypt, Israel and Rest of Middle East and Africa
North America dominates the Artificial intelligence and analytics in surgery market due to the growing number of geriatric population along with adoption of innovative medical technology.
Europe is expected to grow at the highest growth rate in the forecast period due to the rising health awareness among the people and growing demand of advanced medical technology.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Healthcare Infrastructure growth Installed base and New Technology Penetration
The Artificial intelligence and analytics in surgery Market also provides you with detailed market analysis for every country growth in healthcare expenditure for capital equipment, installed base of different kind of products for Artificial intelligence and analytics in surgery Market, impact of technology using life line curves and changes in healthcare regulatory scenarios and their impact on the Artificial intelligence and analytics in surgery Market. The data is available for historic period 2010-2020.
The Artificial intelligence and analytics in surgery Market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to Artificial intelligence and analytics in surgery Market.
Some of the major players operating in the Artificial intelligence and analytics in surgery Market are:
SKU-
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
